RT Journal Article SR Electronic T1 Identification of Key Risk Factors in Project Finance—A “Project Type”-Based Simulation Approach JF The Journal of Structured Finance FD Institutional Investor Journals SP 71 OP 83 DO 10.3905/jsf.2006.614084 VO 11 IS 4 A1 Klaus Backhaus A1 Holger werthschulte YR 2006 UL https://pm-research.com/content/11/4/71.abstract AB The authors describe a simulation-based risk analysis for project finance. Their metamodel estimates the effect of different input variables on overall project risk for six different “clusters,” (i.e., groups of similar projects). The following parameters are used as input variables of the metamodel: dispersion of sale price, dispersion of output level, variable and fixed cash outflows, capital expenditures, interest rate, and duration of construction phase. The effect of these variables on project risk is quantified using the estimated dispersion of the loan life cover ratio.TOPICS: Project finance, credit risk management, statistical methods